Transaction
ID: ddd83bf04c...c865
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
1.1 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.04 ERG
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 362,872
Total coins transferred: 1.1 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000369 ERG
Raw Transaction Data
{
"id": "ddd83bf04c217ab686db4f9969a8c608207683299d9ffb35bf42ecae9fa2c865",
"blockId": "7f93ca5d26c6121d0e559b840057029a21751a29c408f01395bc0a7554a627a1",
"inclusionHeight": 1415699,
"timestamp": 1734023279344,
"index": 8,
"globalIndex": 8242303,
"numConfirmations": 362872,
"inputs": [
{
"boxId": "c28fcc313fb93f72719db3bb21804e4fd5d652bf010299b902c69f326c1cc43c",
"value": 1101000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0f5359c7b68ac8327941151a1fe8108e5e580828d6592234133ccaff03b9a2cb",
"outputTransactionId": "09e4397dfdf40725158f57d55efff48dce143984621f72fb4b84102dfe05f14e",
"outputIndex": 0,
"outputGlobalIndex": 44732115,
"outputCreatedAt": 1415691,
"outputSettledAt": 1415694,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 1\n7: 1\n8: 0\n9: 1\n10: 0\n11: 1\n12: 0\n13: 0\n14: 1\n15: 127\n16: 3\n17: 2\n18: SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))\n19: 1\n20: 2\n21: 5\n22: 100\n23: 2\n24: true\n25: 1\n26: Coll(25,42,59,106,63,15,-20,34,-112,23,-43,-41,-54,-13,-54,72,79,111,37,74,-40,87,-9,-2,-1,-22,46,-126,-71,54,126,-75)\n27: 0\n28: 1\n29: true\n30: Coll(25,42,59,106,63,15,-20,34,-112,23,-43,-41,-54,-13,-54,72,79,111,37,74,-40,87,-9,-2,-1,-22,46,-126,-71,54,126,-75)\n31: 2\n32: 1\n33: Coll(114,-110,-81,-17,119,-3,94,126,-51,-27,-66,-66,-27,-41,-83,12,97,-31,20,-37,-119,-26,106,83,-113,-103,-17,14,-86,-56,-113,-107)\n34: 1100000\n35: 0\n36: 1\n37: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val coll4 = if (bool3) { Coll[Byte]() } else { coll1(placeholder[Int](1))._1 }\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val i7 = SELF.R4[Int].get\n val l8 = SELF.R5[Long].get\n val l9 = SELF.R7[Long].get\n val bool10 = SELF.propositionBytes == box5.propositionBytes\n val bool11 = (\n (\n (\n (((coll1(placeholder[Int](3))._1 == coll6(placeholder[Int](4))._1) && (i7 == box5.R4[Int].get)) && (l8 == box5.R5[Long].get)) && (\n l9 == box5.R7[Long].get\n )\n ) && (SELF.R8[Coll[Byte]].get == box5.R8[Coll[Byte]].get)\n ) && (SELF.R9[Coll[Byte]].get == box5.R9[Coll[Byte]].get)\n ) && bool10\n val tuple12 = SELF.R6[(Long, Long)].get\n val l13 = tuple12._2\n val tuple14 = box5.R6[(Long, Long)].get\n val l15 = tuple14._2\n val bool16 = l13 == l15\n val l17 = box5.value\n val l18 = SELF.value\n val l19 = if (bool3) { placeholder[Long](5) } else { coll1(placeholder[Int](6))._2 }\n val i20 = coll6.size\n val bool21 = i20 == placeholder[Int](7)\n val l22 = l19 - if (bool21) { placeholder[Long](8) } else { coll6(placeholder[Int](9))._2 }\n val l23 = tuple14._1\n val l24 = tuple12._1\n val bool25 = l24 == l23\n val l26 = if (bool21) { placeholder[Long](10) } else { coll6(placeholder[Int](11))._2 } - l19\n val l27 = l18 - l17\n val l28 = if (bool10) { l27 } else { l18 }\n val func29 = {(tuple29: (SigmaProp, Box)) =>\n val coll31 = tuple29._2.propositionBytes\n val coll32 = tuple29._1.propBytes\n if (coll31(placeholder[Int](12)).toInt == placeholder[Int](13)) { coll31 == coll32 } else {(\n val i33 = coll31.size\n coll32.slice(placeholder[Int](14), coll32.size) == coll31.slice(\n if (i33 > placeholder[Int](15)) { placeholder[Int](16) } else { placeholder[Int](17) }, i33\n )\n )}\n }\n val prop30 = placeholder[SigmaProp](18)\n val box31 = OUTPUTS(placeholder[Int](19))\n val bool32 = func29((prop30, box31))\n val box33 = OUTPUTS(placeholder[Int](20))\n val l34 = l28 * placeholder[Int](21).toLong / placeholder[Long](22)\n val bool35 = (((bool11 && bool25) && bool16) && (l18 == l17)) && (\n (bool21 || (i20 == placeholder[Int](23))) && if (bool21) { placeholder[Boolean](24) } else { coll6(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26) }\n )\n val l36 = if (bool21) { placeholder[Long](27) } else { coll6(placeholder[Int](28))._2 } - l19\n sigmaProp(\n (if (bool3) { placeholder[Boolean](29) } else { coll4 == placeholder[Coll[Byte]](30) } && (bool3 || (i2 == placeholder[Int](31)))) && (\n (\n (\n (\n (((bool11 && bool16) && (l17 - l18 == l22 * l9)) && (l22 == l23 - l24)) || (\n (((bool11 && bool25) && (l26 == l15 - l13)) && ((HEIGHT > i7) && (l24 < l8))) && (\n (l27 == l26 * l9) && (coll4 == if (bool21) { Coll[Byte]() } else { coll6(placeholder[Int](32))._1 })\n )\n )\n ) || (\n (\n (((((bool11 || (l28 == l18)) && bool25) && bool16) && (l24 >= l8)) && bool32) && (\n (box33.value == l34) && (placeholder[Coll[Byte]](33) == blake2b256(box33.propositionBytes))\n )\n ) && (box31.value == l28 - l34 - placeholder[Int](34).toLong)\n )\n ) || ((bool35 && bool32) && (l36 < placeholder[Long](35)))\n ) || ((bool35 && func29((prop30, INPUTS(placeholder[Int](36))))) && (l36 > placeholder[Long](37)))\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "5205070f8a3350397f44fda0930ac1a7cb0cb5325b99710fe3ce71efd8b9fd48",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "192a3b6a3f0fec229017d5d7caf3ca484f6f254ad857f7feffea2e82b9367eb5",
"index": 1,
"amount": 3900000,
"name": "FALCON",
"decimals": 5,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R6": {
"serializedValue": "59c0a3860100",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1100000,0]"
},
"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R7": {
"serializedValue": "05d00f",
"sigmaType": "SLong",
"renderedValue": "1000"
},
"R9": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
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"R4": {
"serializedValue": "0496f3ac01",
"sigmaType": "SInt",
"renderedValue": "1416395"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "09bc59f50f6af0f87c3a4dfb4f9ae6314fbaa8f00b3874289a256d15ab4ac41f",
"transactionId": "ddd83bf04c217ab686db4f9969a8c608207683299d9ffb35bf42ecae9fa2c865",
"blockId": "7f93ca5d26c6121d0e559b840057029a21751a29c408f01395bc0a7554a627a1",
"value": 1000000,
"index": 0,
"globalIndex": 44732183,
"creationHeight": 1415697,
"settlementHeight": 1415699,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 1\n2: 0\n3: 0\n4: 0\n5: 0\n6: 1\n7: 1\n8: 0\n9: 1\n10: 0\n11: 1\n12: 0\n13: 0\n14: 1\n15: 127\n16: 3\n17: 2\n18: SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))\n19: 1\n20: 2\n21: 5\n22: 100\n23: 2\n24: true\n25: 1\n26: Coll(25,42,59,106,63,15,-20,34,-112,23,-43,-41,-54,-13,-54,72,79,111,37,74,-40,87,-9,-2,-1,-22,46,-126,-71,54,126,-75)\n27: 0\n28: 1\n29: true\n30: Coll(25,42,59,106,63,15,-20,34,-112,23,-43,-41,-54,-13,-54,72,79,111,37,74,-40,87,-9,-2,-1,-22,46,-126,-71,54,126,-75)\n31: 2\n32: 1\n33: Coll(114,-110,-81,-17,119,-3,94,126,-51,-27,-66,-66,-27,-41,-83,12,97,-31,20,-37,-119,-26,106,83,-113,-103,-17,14,-86,-56,-113,-107)\n34: 1100000\n35: 0\n36: 1\n37: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val coll4 = if (bool3) { Coll[Byte]() } else { coll1(placeholder[Int](1))._1 }\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val i7 = SELF.R4[Int].get\n val l8 = SELF.R5[Long].get\n val l9 = SELF.R7[Long].get\n val bool10 = SELF.propositionBytes == box5.propositionBytes\n val bool11 = (\n (\n (\n (((coll1(placeholder[Int](3))._1 == coll6(placeholder[Int](4))._1) && (i7 == box5.R4[Int].get)) && (l8 == box5.R5[Long].get)) && (\n l9 == box5.R7[Long].get\n )\n ) && (SELF.R8[Coll[Byte]].get == box5.R8[Coll[Byte]].get)\n ) && (SELF.R9[Coll[Byte]].get == box5.R9[Coll[Byte]].get)\n ) && bool10\n val tuple12 = SELF.R6[(Long, Long)].get\n val l13 = tuple12._2\n val tuple14 = box5.R6[(Long, Long)].get\n val l15 = tuple14._2\n val bool16 = l13 == l15\n val l17 = box5.value\n val l18 = SELF.value\n val l19 = if (bool3) { placeholder[Long](5) } else { coll1(placeholder[Int](6))._2 }\n val i20 = coll6.size\n val bool21 = i20 == placeholder[Int](7)\n val l22 = l19 - if (bool21) { placeholder[Long](8) } else { coll6(placeholder[Int](9))._2 }\n val l23 = tuple14._1\n val l24 = tuple12._1\n val bool25 = l24 == l23\n val l26 = if (bool21) { placeholder[Long](10) } else { coll6(placeholder[Int](11))._2 } - l19\n val l27 = l18 - l17\n val l28 = if (bool10) { l27 } else { l18 }\n val func29 = {(tuple29: (SigmaProp, Box)) =>\n val coll31 = tuple29._2.propositionBytes\n val coll32 = tuple29._1.propBytes\n if (coll31(placeholder[Int](12)).toInt == placeholder[Int](13)) { coll31 == coll32 } else {(\n val i33 = coll31.size\n coll32.slice(placeholder[Int](14), coll32.size) == coll31.slice(\n if (i33 > placeholder[Int](15)) { placeholder[Int](16) } else { placeholder[Int](17) }, i33\n )\n )}\n }\n val prop30 = placeholder[SigmaProp](18)\n val box31 = OUTPUTS(placeholder[Int](19))\n val bool32 = func29((prop30, box31))\n val box33 = OUTPUTS(placeholder[Int](20))\n val l34 = l28 * placeholder[Int](21).toLong / placeholder[Long](22)\n val bool35 = (((bool11 && bool25) && bool16) && (l18 == l17)) && (\n (bool21 || (i20 == placeholder[Int](23))) && if (bool21) { placeholder[Boolean](24) } else { coll6(placeholder[Int](25))._1 == placeholder[Coll[Byte]](26) }\n )\n val l36 = if (bool21) { placeholder[Long](27) } else { coll6(placeholder[Int](28))._2 } - l19\n sigmaProp(\n (if (bool3) { placeholder[Boolean](29) } else { coll4 == placeholder[Coll[Byte]](30) } && (bool3 || (i2 == placeholder[Int](31)))) && (\n (\n (\n (\n (((bool11 && bool16) && (l17 - l18 == l22 * l9)) && (l22 == l23 - l24)) || (\n (((bool11 && bool25) && (l26 == l15 - l13)) && ((HEIGHT > i7) && (l24 < l8))) && (\n (l27 == l26 * l9) && (coll4 == if (bool21) { Coll[Byte]() } else { coll6(placeholder[Int](32))._1 })\n )\n )\n ) || (\n (\n (((((bool11 || (l28 == l18)) && bool25) && bool16) && (l24 >= l8)) && bool32) && (\n (box33.value == l34) && (placeholder[Coll[Byte]](33) == blake2b256(box33.propositionBytes))\n )\n ) && (box31.value == l28 - l34 - placeholder[Int](34).toLong)\n )\n ) || ((bool35 && bool32) && (l36 < placeholder[Long](35)))\n ) || ((bool35 && func29((prop30, INPUTS(placeholder[Int](36))))) && (l36 > placeholder[Long](37)))\n )\n )\n}",
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"sigmaType": "(SLong, SLong)",
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"R7": {
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"sigmaType": "SLong",
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"sigmaType": "SInt",
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{
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"index": 1,
"globalIndex": 44732184,
"creationHeight": 1415697,
"settlementHeight": 1415699,
"ergoTree": "0008cd038696f0bfa01ecf1244ae08579cbe486cf755d892de754cb674179bb3293b79c0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))}",
"address": "9hV5btmWVVr8sAfp3im1A8Zf8Akd2HsJtRkUiVCvEwrEUuo38V7",
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{
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"value": 55000000,
"index": 2,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 4\n3: 32\n4: 100\n5: SigmaProp(ProveDlog(ECPoint(56b254,f723bc,...)))\n6: 1\n7: SigmaProp(ProveDlog(ECPoint(25bede,bb0a11,...)))\n8: 2\n9: SigmaProp(ProveDlog(ECPoint(1bf847,c2be87,...)))\n10: 3\n11: SigmaProp(ProveDlog(ECPoint(5a9770,d3c928,...)))\n12: 5000000\n13: 4\n14: 100\n15: 1100000\n16: Coll(-27,64,-52,-17,-3,59,-115,-48,-12,1,25,53,118,-52,65,52,103,3,-106,-107,-106,-108,39,-33,-108,69,65,-109,-35,-33,-77,117)\n17: 5\n18: 1",
"ergoTreeScript": "{\n val l1 = OUTPUTS.map({(box1: Box) => box1.value }).fold(placeholder[Long](0), {(tuple1: (Long, Long)) => tuple1._1 + tuple1._2 })\n val box2 = OUTPUTS(placeholder[Int](1))\n val box3 = OUTPUTS(placeholder[Int](2))\n val l4 = box3.value\n val l5 = l1 - l4\n val l6 = placeholder[Long](3) * l5 / placeholder[Long](4)\n val prop7 = placeholder[SigmaProp](5)\n val box8 = OUTPUTS(placeholder[Int](6))\n val prop9 = placeholder[SigmaProp](7)\n val box10 = OUTPUTS(placeholder[Int](8))\n val prop11 = placeholder[SigmaProp](9)\n val box12 = OUTPUTS(placeholder[Int](10))\n val prop13 = placeholder[SigmaProp](11)\n sigmaProp(\n allOf(\n Coll[Boolean](\n l1 >= placeholder[Long](12), allOf(\n Coll[Boolean](\n (box2.value == l6) && (box2.propositionBytes == prop7.propBytes), (box8.value == l6) && (box8.propositionBytes == prop9.propBytes), (\n box10.value == l6\n ) && (box10.propositionBytes == prop11.propBytes), (box12.value == placeholder[Long](13) * l5 / placeholder[Long](14)) && (\n box12.propositionBytes == prop13.propBytes\n )\n )\n ), allOf(\n Coll[Boolean](l4 >= placeholder[Int](15).toLong, blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](16))\n ), OUTPUTS.size == placeholder[Int](17)\n )\n )\n ) && atLeast(placeholder[Int](18), Coll[SigmaProp](prop7, prop9, prop11, prop13))\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "f3f6aa3d2d8cf09df12c61ea469754213c373d2ca6e99d214a292496414a5a73",
"transactionId": "ddd83bf04c217ab686db4f9969a8c608207683299d9ffb35bf42ecae9fa2c865",
"blockId": "7f93ca5d26c6121d0e559b840057029a21751a29c408f01395bc0a7554a627a1",
"value": 1100000,
"index": 3,
"globalIndex": 44732186,
"creationHeight": 1415697,
"settlementHeight": 1415699,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "b37b24fbeb24fe18746da9a8348c4f37e1f0fd59254350b924bb60caedf55c00",
"mainChain": true
}
],
"size": 2981,
"isUnconfirmed": false
}